82 citations · 153 across the 22 of their papers we have counts for
24 papers
A Computational Framework for Modelling Organisation-Level Semantic Identity from Longitudinal Textual Data
Brinda Murali Krishna, Oktay Karakuş, Can Eyupoglu +1
Can longitudinal texts produced by organisationally affiliated contributors reveal collective semantic differentiation and change without obscuring differences among those contribu…
Terrain signatures in Welsh settlement names
Oktay Karakuş, Can Eyupoglu
Landscapes are named, but whether names retain measurable environmental information beyond broad geographic structure is rarely tested. We analysed 3,757 Welsh settlements using a…
TEMPLAR Wales: A georeferenced environmental and toponymic dataset of Welsh settlements
Oktay Karakuş, Can Eyupoglu
Place names provide persistent records of how landscapes have been described and organised, but their quantitative reuse requires explicit separation between mapped places, lexical…
Stable Global Weighting of Flow Mixtures using Simplex Exponential Moving Average
Benjamin Wiriyapong, Oktay Karakus, Can Eyupoglu +1
Normalising flows provide a powerful variational family for approximate inference, yet individual architectures often fail to generalise across heterogeneous posterior geometries.…
Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data
Arsalaan Ahmad, Oktay Karakus, Paul L. Rosin
Landslide detection from satellite imagery has advanced through deep learning, yet most models rely on large, highly correlated spectral-topographic inputs whose contributions rema…
Feature-Space Oversampling for Addressing Class Imbalance in SAR Ship Classification
Ch Muhammad Awais, Marco Reggiannini, Davide Moroni +1
SAR ship classification faces the challenge of long-tailed datasets, which complicates the classification of underrepresented classes. Oversampling methods have proven effective in…
A Classification-Aware Super-Resolution Framework for Ship Targets in SAR Imagery
Ch Muhammad Awais, Marco Reggiannini, Davide Moroni +1
High-resolution imagery plays a critical role in improving the performance of visual recognition tasks such as classification, detection, and segmentation. In many domains, includi…
A Multi-Modal Spatial Risk Framework for EV Charging Infrastructure Using Remote Sensing
Oktay Karakuş, Padraig Corcoran
Electric vehicle (EV) charging infrastructure is increasingly critical to sustainable transport systems, yet its resilience under environmental and infrastructural stress remains u…
Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction
Akshay Dagadu Yewle, Laman Mirzayeva, Oktay Karakuş
This study introduces RicEns-Net, a novel Deep Ensemble model designed to predict crop yields by integrating diverse data sources through multimodal data fusion techniques. The res…
Patch-GAN Transfer Learning with Reconstructive Models for Cloud Removal
Wanli Ma, Oktay Karakus, Paul L. Rosin
Cloud removal plays a crucial role in enhancing remote sensing image analysis, yet accurately reconstructing cloud-obscured regions remains a significant challenge. Recent advancem…
Integrating Semi-Supervised and Active Learning for Semantic Segmentation
Wanli Ma, Oktay Karakus, Paul L. Rosin
In this paper, we propose a novel active learning approach integrated with an improved semi-supervised learning framework to reduce the cost of manual annotation and enhance model…
Quantifying Extreme Opinions on Reddit Amidst the 2023 Israeli-Palestinian Conflict
Alessio Guerra, Marcello Lepre, Oktay Karakus
This study investigates the dynamics of extreme opinions on social media during the 2023 Israeli-Palestinian conflict, utilising a comprehensive dataset of over 450,000 posts from…
RKFNet: A Novel Neural Network Aided Robust Kalman Filter
Pengcheng Hao, Oktay Karakus, Alin Achim
Driven by the filtering challenges in linear systems disturbed by non-Gaussian heavy-tailed noise, the robust Kalman filters (RKFs) leveraging diverse heavy-tailed distributions ha…
Knowledge Distillation for Road Detection based on cross-model Semi-Supervised Learning
Wanli Ma, Oktay Karakus, Paul L. Rosin
The advancement of knowledge distillation has played a crucial role in enabling the transfer of knowledge from larger teacher models to smaller and more efficient student models, a…
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
Wanli Ma, Oktay Karakus, Paul L. Rosin
Semi-supervised learning (SSL) aims to help reduce the cost of the manual labelling process by leveraging a substantial pool of unlabelled data alongside a limited set of labelled…
Confidence-Guided Semi-supervised Learning in Land Cover Classification
Wanli Ma, Oktay Karakus, Paul L. Rosin
Semi-supervised learning has been well developed to help reduce the cost of manual labelling by exploiting a large quantity of unlabelled data. Especially in the application of lan…
High-precision Density Mapping of Marine Debris and Floating Plastics via Satellite Imagery
Henry Booth, Wanli Ma, Oktay Karakus
Combining multi-spectral satellite data and machine learning has been suggested as a method for monitoring plastic pollutants in the ocean environment. Recent studies have made the…
A Semi-supervised Learning Approach for B-line Detection in Lung Ultrasound Images
Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +2
Studies have proved that the number of B-lines in lung ultrasound images has a strong statistical link to the amount of extravascular lung water, which is significant for hemodialy…
Predicting air quality via multimodal AI and satellite imagery
Andrew Rowley, Oktay Karakuş
Climate change may be classified as the most important environmental problem that the Earth is currently facing, and affects all living species on Earth. Given that air-quality mon…
On Advances, Challenges and Potentials of Remote Sensing Image Analysis in Marine Debris and Suspected Plastics Monitoring
Oktay Karakuş
Marine plastic pollution is an emerging environmental problem since it pollutes the ocean, air and food whilst endangering the ocean wildlife via the ingestion and entanglements. D…
Reinforcement Learning based Voice Interaction to Clear Path for Robots in Elevator Environment
Wanli Ma, Xinyi Gao, Jianwei Shi +4
Efficient use of the space in an elevator is very necessary for a service robot, due to the need for reducing the amount of time caused by waiting for the next elevator. To provide…
Current Advances in Computational Lung Ultrasound Imaging: A Review
Tianqi Yang, Oktay Karakuş, Nantheera Anantrasirichai +1
In the field of biomedical imaging, ultrasonography has become increasingly widespread, and an important auxiliary diagnostic tool with unique advantages, such as being non-ionisin…
Modeling and SAR Imaging of the Sea Surface: a Review of the State-of-the-Art with Simulations
Igor G. Rizaev, Oktay Karakus, S. John Hogan +1
Among other remote sensing technologies, synthetic aperture radar (SAR) has become firmly established in the practice of oceanographic research. Despite solid experience in this fi…
Representation Learning via Cauchy Convolutional Sparse Coding
Perla Mayo, Oktay Karakuş, Robin Holmes +1
In representation learning, Convolutional Sparse Coding (CSC) enables unsupervised learning of features by jointly optimising both an \(\ell_2\)-norm fidelity term and a sparsity e…